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Publisher's Summary

Ready to crank up a neural network to get your self-driving car to pick up the kids from school? Want to add "deep learning" to your LinkedIn profile?

Well, hold on there....

Before you embark on your epic journey into the world of deep learning, there is basic theory to march through first! Take a step-by-step journey through the basics of neural networks and deep learning, made so simple that...even your granny could understand it!

What you will gain from this audiobook:

  • A deep understanding of how a neural network and deep learning work
  • A basics comprehension on how to build a deep neural network from scratch

Who this audiobook is for:

  • Beginners who want to approach the topic, but are too afraid of complex math to start!

What’s inside?

  • A brief introduction to machine learning
  • Two main types of machine learning algorithms
  • A practical example of unsupervised learning
  • What are neural networks?
  • McCulloch-Pitts' neuron
  • Types of activation function
  • Types of network architectures
  • Learning processes
  • Advantages and disadvantages
  • Let us give a memory to our neural network
  • The example of book writing software
  • Deep learning: the ability of learning to learn
  • How does deep learning work?
  • Main architectures and algorithms
  • Main types of DNN
  • Available frameworks and libraries
  • Convolutional neural networks
  • Tunnel vision
  • Convolution
  • The right architecture for a neural network
  • Test your neural network
  • A general overview of deep learning
  • What are the limits of deep learning?
  • Deep learning: the basics
  • Layers, learning paradigms, training, validation
  • Main architectures and algorithms
  • Models for deep learning
  • Probabilistic graphic models
  • Restricted Boltzmann machines
  • Deep belief networks
  • Available frameworks and libraries
  • TensorFlow

Download now!

©2018 Pat Nakamoto (P)2018 Pat Nakamoto

What members say

Average Customer Ratings

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    5 out of 5 stars
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    4 out of 5 stars

Really in depth coverage of neural networks!

Great informational, helped me so much in figuring out how everything works! A great supplement to anyone learning about the subject!

6 of 6 people found this review helpful

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    5 out of 5 stars
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Know your stars

What I like most in this audiobook is that it started on the basics and didn’t just end there. The author has added some advance knowledge. So this means I don’t have to spend money again on another book. I’m now more than ready to delve into the different machine-learning tools this book has recommended.

6 of 6 people found this review helpful

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Wonderful guide

It is very informative and the author has explained it in a simplified way, making it very friendly for beginners. . This book causes me an impressive measure and appreciate what machine acknowledging is and how it's used as a piece of this present reality.

6 of 6 people found this review helpful

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    5 out of 5 stars
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Complete guide

The book comes with comprehensible explanations and examples for the newbies to get the lay of the land even without previous programming experience.

5 of 5 people found this review helpful

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    5 out of 5 stars
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Quick listen

I love learning about this kind of stuff. Great guide for a newbie like me. Glad I decided to give it a listen. Chock full of helpful tips and information. Nicely done!

4 of 4 people found this review helpful

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So helpful for me as a student!

I've been studying machine learning, but was a bit in over my head. This kept me engaged and helped me learn a ton!

3 of 3 people found this review helpful

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Thumbs up!

Yep! A clueless one here! But thumbs up to the author. He knows how to satisfy his reader’s curiosity considering the topic is very technical. After wrapping up on this audiobook, I’ve picked up a great deal of info like data acquisition and data management.

3 of 3 people found this review helpful

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    5 out of 5 stars
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    5 out of 5 stars

Author done a great job.

I enjoyed the way the author makes Machine Learning accessible to a novice like me. For anyone who is interested in learning the terminology and scope of approaches that comprise machine learning, this book is current, concise, and informative.

3 of 3 people found this review helpful

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    5 out of 5 stars
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Best one

Of course to be the real deal an audiobook needs a good narrator and for this book, author precisely the right tone and hits all the right notes.

3 of 3 people found this review helpful

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    5 out of 5 stars
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Best guidebook

An incredibly insightful, enlightening and educational book on everything around us and everything we know.

3 of 3 people found this review helpful

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  • parvesh
  • 06-15-18

Listen it !

Excellent book! I really love this book.I have learned from this book:The difference between deep learning and machine learning. The book tackles many interesting subjects some of which are hard to find elsewhere including Generative

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    5 out of 5 stars
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  • meenachi
  • 06-15-18

Quick and informative.

This is so awesome book and I so adore on how it was composed. Excessively basic anyway it gives us an incredible comprehension. exceptionally elegantly composed. Over every one of the cases utilized were extremely very much inquired about and give reviving variety.This is totally the best one.

  • Overall
    5 out of 5 stars
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  • Riswana
  • 06-15-18

Big thanks to this!

An excellent book! A comprehensive yet efficient approach to Deep Learning.This will help to reinforce knowledge and generate ideas during the listen

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    5 out of 5 stars
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  • catherine
  • 06-15-18

Could not stop listening

It covered a lot of ground, mostly practical, a bit theoretical. Therefore, it couldn't go really deep on any one subject, but it provided an excellent overview. Nice for executives or practitioners

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    5 out of 5 stars
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  • ZIYA
  • 06-13-18

This is a wonderful guide

Awesome book for starters and also for the the ones who wants to refresh their basics. This books start with basics with systematic explanation through code examples. The books starts with basic algebra and example and then goes deep in the Deep Learning space.

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    5 out of 5 stars
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  • NabilaBarry
  • 06-13-18

Well written

The great thing about the book is you don't find it boring at any point of time and your interest keep on growing as you go to every next page and working example. Liked last chapter the most which has latest of deep learning examples from field like bio information. An awesome read for deep learning enthusiast!!!!

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    5 out of 5 stars
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  • Olivia
  • 06-13-18

The Best Deep learning book for

The book is very well written which covers the basic along with sample code which is easy to follow. The books starts with basic algebra and example and then goes deep in the Deep Learning space.

  • Overall
    5 out of 5 stars
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  • reema
  • 06-13-18

Ever Wonder...

This book causes me to profoundly make a few information investigation effectively. This is absolutely the best one.Many thanks to the author that the book has presented us beautifully. You can learn a lot of things by reading the book. I will recommend to everyone for buy the book.

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  • ROSY
  • 06-12-18

Truly recommended

Great substance with obviously elucidated thoughts which function admirably for as a sort of viewpoint yet it ought to be supplemented with various resources for independent examination. It would be enormously valuable to join issues toward the complete of each part with courses of action toward the complete of the book.

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    5 out of 5 stars
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  • mydeen
  • 06-12-18

WOW

This is the best Deep Learning book I have ever read. An excellent resource on deep learning from first principles to research.